qkeras
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QDense_batchnorm?
I see you have qconv2d_batchnorm
layer which folds the weights of the two layers and then quantizes.
We're bringing support for that to hls4ml, and it should help us save some resources & latency.
I'm wondering, do you plan to add the equivalent combined QDense
+ BatchNormalization
layer to QKeras
?
@thesps great and glad to see this helps! Yes, QDenseBatchnorm is one of our TODO items, but we have other higher priority tasks at this moment.
https://github.com/google/qkeras/pull/74